Update app.py

app.py

@@ -7,9 +7,8 @@ import time
 import tempfile
 from huggingface_hub import InferenceClient
 
-DESCRIPTION = """ # <center><b>JARVIS⚡</b></center>
-        ### <center>A personal Assistant of Tony Stark for YOU
-        ### <center>Currently It supports text input, But If this space completes 1k hearts than I starts working on Audio Input.</center>
+DESCRIPTION = """ # <center><b>DorjGPT⚡</b></center>
+        ### <center>A personal Assistant
         """
 
 MORE = """ ## TRY Other Models
@@ -50,64 +49,12 @@ async def generate1(prompt):
         await communicate.save(tmp_path)
     yield tmp_path
 
-client2 = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct")
-
-system_instructions2 = "<s>[SYSTEM] You are AI assistant named DorjGPT, Keep conversation very short, clear, friendly and concise. The text provided is a request for a specific type of response from you, the virtual assistant. The request asks you to provide friendly responses as if super interlligent AI assistant. The expectation is that I will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, your task is to generate responses that appear as if they are created by the user and not an AI-powered assistant. [USER]"
-
-async def generate2(prompt):
-    generate_kwargs = dict(
-        temperature=0.6,
-        max_new_tokens=512,
-        top_p=0.95,
-        repetition_penalty=1,
-        do_sample=True,
-    )    
-    formatted_prompt = system_instructions2 + prompt + "[ASSISTANT]"
-    stream = client2.text_generation(
-        formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
-    output = ""
-    for response in stream:
-        output += response.token.text
-    output = output.replace("</s>","")
-    
-    communicate = edge_tts.Communicate(output)
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
-        tmp_path = tmp_file.name
-        await communicate.save(tmp_path)
-    yield tmp_path
-
-client3 = InferenceClient("meta-llama/Meta-Llama-3-70B-Instruct")
-
-system_instructions3 = "[SYSTEM]The text provided is a request for a specific type of response from me, the virtual assistant. The request asks me to provide detailed and friendly responses as if I am the character Jarvis, inspired by 'Tony Stark.' The expectation is that I will avoid introductions and start answering the query directly, elaborating on all aspects of the request. As an AI-powered assistant, my task is to generate responses that appear as if they are created by the user and not an AI-powered assistant.[USER]"
-
-async def generate3(prompt):
-    generate_kwargs = dict(
-        temperature=0.6,
-        max_new_tokens=2048,
-        top_p=0.95,
-        repetition_penalty=1,
-        do_sample=True,
-    )    
-    formatted_prompt = system_instructions3 + prompt + "[ASSISTANT]"
-    stream = client3.text_generation(
-        formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=True)
-    output = ""
-    for response in stream:
-        output += response.token.text
-    output = output.replace("</s>","")
-    
-    communicate = edge_tts.Communicate(output)
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp_file:
-        tmp_path = tmp_file.name
-        await communicate.save(tmp_path)
-    yield tmp_path
-
 with gr.Blocks(css="style.css") as demo:    
     gr.Markdown(DESCRIPTION)
     with gr.Row():
         user_input = gr.Textbox(label="Prompt", value="What is Wikipedia")
         input_text = gr.Textbox(label="Input Text", elem_id="important")
-        output_audio = gr.Audio(label="JARVIS", type="filepath",
+        output_audio = gr.Audio(label="DorjGPT", type="filepath",
                         interactive=False,
                         autoplay=True,
                         elem_classes="audio")